论文标题
在混合卸载目的地环境中自动卸载方法的建议
Proposal of Automatic Offloading Method in Mixed Offloading Destination Environment
论文作者
论文摘要
当使用异质硬件时，诸如OpenMP，Cuda和OpenCL之类的技术技能障碍很高。基于此，我提出了可以自动转换，配置的环境自适应软件。但是，包括现有技术在内，尚无研究来正确和自动卸载混合卸载目的地环境，例如GPU，FPGA和许多核心CPU。在本文中，作为环境自适应软件的新元素，我研究了一种在与GPU，FPGA和许多Core CPU混合的环境中正确卸载应用程序的方法。 Y. Yamato，“混合卸载目的地环境中自动卸载方法的提议”，2020年第八届计算机和网络研讨会国际研讨会（Candarw 2020），第460-464页，DOI：10.1109/Candarw51189.2020.2020.2020.00094，11月2020年，2020年。 “（c）2020 IEEE。允许对该材料进行个人使用。必须在所有其他用途的情况下，在任何当前或将来的媒体中获得IEEE的许可，包括重印/出版此材料以进行广告或促销目的，创建新的集体作品，以转售或重新分配到服务或重新分配到服务或重新列表，或重新列出任何此类工作中其他工作的版本。
When using heterogeneous hardware, barriers of technical skills such as OpenMP, CUDA and OpenCL are high. Based on that, I have proposed environment-adaptive software that enables automatic conversion, configuration. However, including existing technologies, there has been no research to properly and automatically offload the mixed offloading destination environment such as GPU, FPGA and many core CPU. In this paper, as a new element of environment-adaptive software, I study a method for offloading applications properly and automatically in the environment where the offloading destination is mixed with GPU, FPGA and many core CPU. Y. Yamato, "Proposal of Automatic Offloading Method in Mixed Offloading Destination Environment," 2020 Eighth International Symposium on Computing and Networking Workshops (CANDARW 2020), pp.460-464, DOI: 10.1109/CANDARW51189.2020.00094, Nov. 2020. "(c) 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."
